Estimation of Seasonal Representation of the Sea Water Temperature Profile Using Machine Learning and Its Effect on the Prediction of Underwater Acoustic Detection Performance

IF 1.2 4区地球科学 Q3 MARINE & FRESHWATER BIOLOGY

Ocean Science Journal Pub Date : 2022-08-12 DOI:10.1007/s12601-022-00086-8

Nayoung Park, Young-Gyu Kim, Kyeong Ok Kim, S. Son, Jongjin Park, Young Ho Kim

引用次数: 0

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利用机器学习估计海水温度剖面的季节性表征及其对水声探测性能预测的影响

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ocean Science Journal MARINE & FRESHWATER BIOLOGY-OCEANOGRAPHY

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： Ocean Science Journal is a scientific journal published quarterly (30th March, June, September, December) by the Korean Society of Oceanography (KSO) and Korea Institute of Ocean Science & Technology (KIOST). OSJ is international and interdisciplinary. Research articles, reviews and notes dealing with physical oceanography, biological oceanography/marine biology, chemical oceanography/marine chemistry, geological oceanography/marine geology, and marine pollution will be considered. Ocean Science covers the following fields: • physical oceanography: waves, currents, air-sea interaction, ocean modeling, coastal processes, water masses • biological oceanography/marine biology: plankton, benthic organisms, fish, ecology, molecular biology • chemical oceanography/marine chemistry: trace elements, isotopes, nutrients, organic substances, gases • geological oceanography/marine geology: geophysics, sedimentology, paleontology, paleogeopraphy, sediment dynamics • marine pollution: pollutants analysis and monitoring, fates of contaminants, aquatic toxicology, ecotoxicology • Promotes all aspects of ocean science, experimental, theoretical and laboratory researches OSJ aims to publish a very high quality scientific journal for researchers and other interested people throughout the world.